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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Physica A Statistica...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Physica A Statistical Mechanics and its Applications
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.1016/j.p...
Article
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The Hong Kong University of Science and Technology: HKUST Institutional Repository
Article . 2007
Data sources: Bielefeld Academic Search Engine (BASE)
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Clustering coefficients of growing networks

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2007 China (People's Republic of) English Publisher:Elsevier BVJournal:Physica A: Statistical Mechanics and its Applications, volume 381, pages 515-524 (issn: 0378-4371, Copyright policy )
Authors: Shi, Dinghua; Zhu, Stuart X.; Liu, Liming;

doi: 10.1016/j.physa.2007.03.054

Clustering coefficients of growing networks

Abstract

Abstract In this paper, we develop a general analytical method to compute clustering coefficients of growing networks. This method can be applied to any network as long as we can construct and solve the dynamic equation for the degree of any node. We also verify the accuracy of the method through simulation.

Country
China (People's Republic of)
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Keywords

Clustering coefficient, Growing network, Dynamic equation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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